Advanced Methods in Biomedical Signal Processing and Analysis

· · ·
· Academic Press
Ebook
432
Pages
Eligible
Ratings and reviews aren’t verified  Learn More

About this ebook

Advanced Methods in Biomedical Signal Processing and Analysis presents state-of-the-art methods in biosignal processing, including recurrence quantification analysis, heart rate variability, analysis of the RRI time-series signals, joint time-frequency analyses, wavelet transforms and wavelet packet decomposition, empirical mode decomposition, modeling of biosignals, Gabor Transform, empirical mode decomposition. The book also gives an understanding of feature extraction, feature ranking, and feature selection methods, while also demonstrating how to apply artificial intelligence and machine learning to biosignal techniques. - Gives advanced methods in signal processing - Includes machine and deep learning methods - Presents experimental case studies

About the author

Dr. Kunal Pal is a Professor in the Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, India. His major research interests revolve around biomedical signal processing, biomedical equipment design, soft materials, and controlled drug delivery. He has published more than 100 publications in SCI-cited journals of high repute.

Dr. Samit Ari received B. Tech in Electronics and Tele-communication Engineering degree from University of Kalyani and M. Tech degree in Instrumentation Engineering from University of Calcutta. He completed Ph.D in Electronics and Electrical Communication Engineering from Indian Institute of Technology (IIT), Kharagpur. He joined National Institute of Technology (NIT) Rourkela as a faculty member in 2009, where he presently holds the position of Associate Professor in the department of Electronics and Communication Engineering. He is an accomplished researcher with strong research background in Signal Processing, Image processing, Data Modeling, Biomedical Signal and Image Processing, Pattern Recognition and Artificial Intelligence. Currently, he is Professor-in-charge of Pattern Recognition and Machine Intelligence Lab, Dept. of Electronics and Communication Enginnering, NIT Rourkela. Dr. Ari is a member of IEEE and IEEE signal processing society. Currently, he is also Associate Editor of IET Image Processing Journal. He has published more than sixty research articles in reputed journals (like IEEE, IET, Elsevier, Springer etc.) and conferences. He has guided four PhD, and supervised more than fifty M. Tech and more than forty B. Tech projects. He handles number of projects funded by DRDO, SERB etc. in the area of Signal and Image processing, Artificial Intelligence. He is a reviewer of IEEE, IET, Elsevier and other international journal papers.

Dr. Saugat Bhattacharyya pursued his graduation in Biomedical Engineering from West Bengal University of Technology, India in the year 2009 followed by post-graduation in Biomedical Engineering from Jadavpur University, Kolkata, India in the year 2011. He did a Ph.D. internship in the DEMAR project team, INRIA, Montpellier, France in 2014-2015 as part of the Erasmus Mundus-Svaagata Project Fellowship in 2014. Later, he was awarded his Ph.D. in Biomedical Engineering from Jadavpur University, Kolkata, India in the year 2015. Subsequently, he joined as a post-doctoral researcher with the BCI-LIFT project, CAMIN project team, INRIA, Montpellier, France at the end of 2015. Later, he worked in the Decision-Making Lab, BCI-NE Group, School of Computer Science & Electronics Engineering, University of Essex as a Senior Research Officer from July 2017 to April 2020. Currently he is a Lecturer in Computer Science in the School of Computing, Engineering & Intelligent Systems. His research interests are in the area of Cognitive Neuroscience, Artificial Intelligence and Machine Learning and its application in Human-Machine Interaction and Neuro-Rehabilitation. He has experience in developing intelligent neuro-technologies to improve rehabilitation and decision making. His research is primarily focussed on developing brain-computer interfacing systems based on robust signal processing, quantitative and machine learning algorithms to draw inference into an users' state of mind through their neural and other physiological signals. He has more than 40 publications in SCI cited journals of high repute, book chapters and peer-reviewed conferences with citations more than 600.

Rate this ebook

Tell us what you think.

Reading information

Smartphones and tablets
Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.
Laptops and computers
You can listen to audiobooks purchased on Google Play using your computer's web browser.
eReaders and other devices
To read on e-ink devices like Kobo eReaders, you'll need to download a file and transfer it to your device. Follow the detailed Help Center instructions to transfer the files to supported eReaders.